{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7 常用参数调整Adjustment of Common Parameters\n",
    "主要讲述关于seaborn通用参数设置方法，该章节主要内容有:\n",
    "1. 主题设置 themes adjustment \n",
    "2. 颜色设置 Manage colors\n",
    "3. 轴的管理 Manage axis\n",
    "4. 边距调整 Manage margins\n",
    "5. 添加注释 Add annotations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 主题设置 themes adjustment \n",
    "+ 灰色网格 darkgrid\n",
    "+ 白色网格 whitegrid\n",
    "+ 黑色 dark\n",
    "+ 白色 white\n",
    "+ 十字叉 ticks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Seaborn中有五种可供选择的主题下面通过set_style设置主题\n",
    "# Proposed themes: darkgrid, whitegrid, dark, white, and ticks\n",
    "# Data\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "data = np.random.normal(size=(20, 6)) + np.arange(6) / 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'darkgrid')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 灰色网格 darkgrid\n",
    "sns.set_style(\"darkgrid\")\n",
    "sns.boxplot(data=data)\n",
    "plt.title(\"darkgrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'whitegrid')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 白色网格 whitegrid\n",
    "sns.set_style(\"whitegrid\")\n",
    "sns.boxplot(data=data);\n",
    "plt.title(\"whitegrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'dark')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 黑色 dark\n",
    "sns.set_style(\"dark\")\n",
    "sns.boxplot(data=data);\n",
    "plt.title(\"dark\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'white')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 白色 white\n",
    "sns.set_style(\"white\")\n",
    "sns.boxplot(data=data);\n",
    "plt.title(\"white\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'ticks')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 十字叉 ticks\n",
    "sns.set_style(\"ticks\")\n",
    "sns.boxplot(data=data);\n",
    "plt.title(\"ticks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 颜色设置 Manage colors"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于Seaborn是在matplotlib之上构建的，因此Matplotlib上的大部分定制工作也适用于seaborn。seaborn中通过palette选择颜色。可用颜色有：\n",
    "![](https://python-graph-gallery.com/wp-content/uploads/100_Color_names_python.png)\n",
    "seaborn有三种类型的调色板: Sequential, Diverging and Discrete:\n",
    "![Sequential](https://python-graph-gallery.com/wp-content/uploads/Screen-Shot-2017-09-22-at-8.24.07-am-768x323.png)\n",
    "![Diverging](https://python-graph-gallery.com/wp-content/uploads/Screen-Shot-2017-09-22-at-8.24.23-am-768x139.png)\n",
    "![Discrete](https://python-graph-gallery.com/wp-content/uploads/Screen-Shot-2017-09-22-at-8.24.16-am-768x116.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sequential颜色调用\n",
    "# Libraries\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    " \n",
    "# create data\n",
    "x = np.random.rand(80) - 0.5\n",
    "y = x+np.random.rand(80)\n",
    "z = x+np.random.rand(80)\n",
    "df = pd.DataFrame({'x':x, 'y':y, 'z':z})\n",
    " \n",
    "# Plot with palette\n",
    "sns.lmplot( x='x', y='y', data=df, fit_reg=False, hue='x', legend=False, palette=\"Blues\");\n",
    "# reverse palette\n",
    "sns.lmplot( x='x', y='y', data=df, fit_reg=False, hue='x', legend=False, palette=\"Blues_r\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Diverging颜色调用\n",
    "# plot\n",
    "sns.lmplot( x='x', y='y', data=df, fit_reg=False, hue='x', legend=False, palette=\"PuOr\");\n",
    "# reverse palette\n",
    "sns.lmplot( x='x', y='y', data=df, fit_reg=False, hue='x', legend=False, palette=\"PuOr_r\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Discrete颜色调用\n",
    "# library & dataset\n",
    "import seaborn as sns\n",
    "df = sns.load_dataset('iris')\n",
    "\n",
    "# --- Use the 'palette' argument of seaborn\n",
    "sns.lmplot( x=\"sepal_length\", y=\"sepal_width\", data=df, fit_reg=False, hue='species', legend=False, palette=\"Set1\");\n",
    "plt.legend(loc='lower right')\n",
    "\n",
    "# --- Use a handmade palette 自定义颜色板\n",
    "flatui = [\"#9b59b6\", \"#3498db\", \"orange\"]\n",
    "sns.set_palette(flatui)\n",
    "sns.lmplot( x=\"sepal_length\", y=\"sepal_width\", data=df, fit_reg=False, hue='species', legend=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 轴的管理 Manage axis\n",
    "+ 标题 Title\n",
    "+ 标尺 Ticks\n",
    "+ 标签 labels\n",
    "+ 坐标轴范围 limit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 标题 Title\n",
    "# Basic plot\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# data\n",
    "height = [3, 12, 5, 18, 45]\n",
    "bars = ('A', 'B', 'C', 'D', 'E')\n",
    "y_pos = np.arange(len(bars))\n",
    "\n",
    "sns.barplot(y_pos, height, color=(0.2, 0.4, 0.6, 0.6))\n",
    " \n",
    "# Custom Axis title 需要调用matplotlib设置轴标题\n",
    "plt.xlabel('title of the xlabel', fontweight='bold', color = 'orange', fontsize='17', horizontalalignment='center');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 标尺 Ticks\n",
    "sns.barplot(y_pos, height, color=(0.2, 0.4, 0.6, 0.6))\n",
    "# Custom ticks 调用matplotlib tick_params控制标尺\n",
    "plt.tick_params(axis='x', colors='red', direction='out', length=15, width=5)\n",
    "# You can remove them:\n",
    "# plt.tick_params(bottom=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 标签 labels\n",
    "sns.barplot(y_pos, height, color=(0.2, 0.4, 0.6, 0.6))\n",
    "# use the plt.xticks function to custom labels\n",
    "plt.xticks(y_pos, bars, color='orange', rotation=45, fontweight='bold', fontsize='17', horizontalalignment='right');\n",
    " \n",
    "# remove labels\n",
    "# plt.tick_params(labelbottom='off')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 坐标轴范围 limit\n",
    "sns.barplot(y_pos, height, color=(0.2, 0.4, 0.6, 0.6))\n",
    "# Set the limit\n",
    "plt.xlim(0,20);\n",
    "plt.ylim(0,50);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. 边距调整 Manage margins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_pos = np.arange(len(bars))\n",
    "bars = ('A','B','C','D','E')\n",
    "height = [3, 12, 5, 18, 45]\n",
    "sns.barplot(y_pos, height);\n",
    " \n",
    "# If we have long labels, we cannot see it properly 当名字太长我们无法阅读\n",
    "names = (\"very long group name 1\",\"very long group name 2\",\"very long group name 3\",\"very long group name 4\",\"very long group name 5\")\n",
    "plt.xticks(y_pos, names, rotation=90);\n",
    "# It's the same concept if you need more space for your titles\n",
    "plt.title(\"This is\\na very very\\nloooooong\\ntitle!\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 上下边距调整\n",
    "sns.barplot(y_pos, height);\n",
    " \n",
    "# If we have long labels, we cannot see it properly 当名字太长我们无法阅读\n",
    "names = (\"very long group name 1\",\"very long group name 2\",\"very long group name 3\",\"very long group name 4\",\"very long group name 5\")\n",
    "plt.xticks(y_pos, names, rotation=90);\n",
    "# It's the same concept if you need more space for your titles\n",
    "plt.title(\"This is\\na very very\\nloooooong\\ntitle!\")\n",
    "\n",
    "# Thus we have to give more margin 通过subplots_adjust调整上下区域所占范围\n",
    "plt.subplots_adjust(bottom=0.4)\n",
    "plt.subplots_adjust(top=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. 添加注释 Add annotations\n",
    "+ 添加文本 add text\n",
    "+ 添加长方形 add rectangle\n",
    "+ 添加圆 add circle\n",
    "+ 添加参考线 add reference line\n",
    "+ 添加公式 add formula"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 添加文本 add text\n",
    "df=pd.DataFrame({'x': range(1,101), 'y': np.random.randn(100)*15+range(1,101) })\n",
    "sns.regplot( data=df, x=\"x\", y=\"y\", marker='o')\n",
    " \n",
    "# Annotate with text + Arrow 添加文本和箭头\n",
    "plt.annotate(\n",
    "# Label and coordinate\n",
    "# xy箭头尖的坐标，xytest文本起始位置\n",
    "'This point is interesting!', xy=(20, 40), xytext=(0, 80),\n",
    "# Custom arrow 添加箭头\n",
    "arrowprops=dict(facecolor='black', shrink=0.05)\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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irKBU+ykf+ucP0E2dVdctZd22Wp5/4BV8ljGhq2i+bFIkoSCEWHA81yM+ZBOLTB4GA51Rju1r4cyb55PrEQIlFutvraXh+ppJp4iO309ZNzQCxQE0U+P0r86zblstAMEy/5wW0eWThIIQYsGYbi9kgP7zQzS/2ELLWxeSgVFU5mfDx+pYvWUZhm/qKaKR7mGKSi38IR+6T8eJJQrkDZwfuwuYz5sUSSgIIbJutiWy05VOGPR1RDi6t4W2dzqTYRCs8NP4sXpWXbcUPZ31AhpUXVFGbDCO5yriQ3EAnNjEu4D5sEnRZCQUhBBZNZcS2dNJJwx62gZpfrGF9ncvJh8LLwnQeFs99R+uTqvQ3PjFZo0fq+XA/758g59L7wKysTAvFyQUhBBZNZcS2ZD6LqP26qrEmMHg5PWJulv6Obq3hY6j3cnHiquLkusFdGP69QKpFpvVXj1/7wLSIaEgRAHLdrdLLsx2r2S4/C4jPuzw9gsniA3ZVK0uS/mai6f6OLq3hfPHe5KPlSwL0nR7PbVXV6GlsZJ4uj2P5+tdQDokFIQoUNnsdsml2ZTIHg3DC+/3ggZlNSGKyvy4cY9IzzBHfnqGW744FgpKKTpP9NG8t4ULH/QmHy9bHqJx+0pWbKycPgw08AVGitP5C6M4XT5IKAhRoOba7VIoZjoTZ3wYGpaOv9jHcMQmPuxi+jR0XUvWE1JKceH9Xo7uPcPFk/3J9yivK6Zpez01TRXTlpUo5OJ0+SChIESBmq7bZb50Lc10Js47PzmFL2gSLPWDUgz1DuPaCl3XKK4uwrE9guV+Opq7Obr3DN1nBpKvrVxZQtMd9SxdXz5tGMyH4nT5IKEgRIGaqttlvnUtzaQP3om7BIp9DA/EcOIuzkgxOsdRxGMuTtQBT/HK/304+ZqqNaU0ba+n6oqyacMg3zubpSOfgZ+zULBtmwceeID29nZ0XefP//zPMU2TBx54AE3TWLt2LY888gi6LrdvQsDU3S4LpWtpvNGSFKZl0H8+is/SsYoSp6ihvhiaguG+OG7cIzaY2Nymem1ZIgzWpB50Hs+wdKyQDytQ2NfC+Q78nH07v/jFL3Ach3/8x3/kwIED/M//+T+xbZt7772XrVu38vDDD7Nv3z62b9+eqyYJUdCm6nY58L+PznpGT6EZLUkxutZgzY01yWqjhqnh2B4oDeWpZAnrZRvKadq+kspVJVO/uQam30jMJMrjNpczufLPd+Dn7FtavXo1ruvieR6Dg4OYpsmhQ4fYsmULANu2bePAgQMSCkKMM1m3y1w2vS8Ul4bBqJrGStT/pXjnJ6foPxdFeWO/XH5lJY3b66moK576zQtom8uZXvnPZQpvJuQsFILBIO3t7XziE5+gp6eH7373u7zxxhvJPr1QKMTAwEDK1+7evZvdu3cD0NPTk/I5Qiwm87m2zmRhAIkupDNvnqd5XyuRrrEdy1ZctYSm7fWUrQhP+d6aRmK8IFg4M4lmeuWf78DPWSg89dRT3HTTTXzta1+jo6ODz372s9i2nfx9JBKhpCT1reCuXbvYtWsXADt37sxJe4UoZIVSW2cm3SJThYHreJx+/RzHftbKUE8s8aAGdVdX0Xh7PaU1oSnboemJvQ+soC+tshW5NNMr/3wHfs5CoaSkBJ8vsWNRaWkpjuPQ1NTEwYMH2bp1K/v37+f666/PVXOEmPfyvao23W6RS8Ng/AY1wTI/JcuCdBztJtqXKC6n6VD/oWo23FZPydLglG3QTbCCPnxFhTutdKZX/vkO/JyFwj333MODDz7IXXfdhW3bfPWrX2Xjxo089NBDPPHEEzQ0NLBjx45cNUcIkUImB0RTFasb3aAGQ8PzFF1n+rl4KrHoTNM1Vl5bTeNt9YSXTN1VMl0ZikIymyv/fAZ+zkIhFArxne9857LHn3nmmVw1QQgxhYwMiPp1YkM2scE4scjlxeqa97Vix1zsqDPhd4ESi499eTOhisDkDSyQmUQzle8r/5maP9+sECKr5jQgOnLC1nQNw9QZHrAnPNeOOnxw4Cxdp/sn7ITmD5n4wz6cuDd5IGhgFZn4CmAm0Wzlu6tvJiQUhBDA7AdEVcCgqMQiNmgz3Bfj6t9ak3xOfMjm/Zfbef/ls9hRJ/m4P2wSKE4MCtuTBIKmgTVSkyitDXBERkgoLEA//vGP890EMQ8d7TpOrMXGHLcdpWN7+EM+fvzj1NPFI6t7KbMb6WkdpKjE4urfWkNNYyWxQZv39rfxwStncWIukBgHWLahnJ6WAXTLQNMTgaAcj/W31ibfU2oS5ZeEwkLV35/4n1gUutsGaH+ni+HBOIGwxYpNlVTUTrPA6xJrVnqcfO0Cmq6hmzqe42F6ioamGmhrm/Bc1/Gw/SGCZSGuv6Mx+fjwQJy3f3ySE6+eTa4+NgMGa29aztqba/GHfRNmH4UqAqy/tZaaxsp5UZNoMZBQWKj6++Hs2Xy3QuRA37kIHW93YugaxYaG16no2HsW4+oqSpdNPb9/vAodjDUaF97vJdZv4w/6qF5bRqk+AGcTdwqu4+HZHq7roZbWwMj6gWhfjOMvtXHitQ48JxEGviKTtTevYO3Ny7GCvuTn1DRWUtNYmfhBA9MysELpDR7Pl8qw85mEwgL3yZEyImLhemP3cVatqLq82yfq47ot6zPyGa7t4sQ8HNsFBf/21q8A8KIav37+fU69fg7PSYwgW0GTdbfUcsVHluObrPjc6IY2wfQHj/NdKG6xkFAQYp6L9sXxBSaeWA1TTy4GmwvXcXGGx8JglOcGGG5biv1ukBOqAwB/2Mf6W2pZc+PyyXcuG5lJZAVNDN/MZhLlu1DcYiGhIMQ8V1RqEYtMHCB2HY+iUmvW7+k6I3cG8YlhMBDROHLSYqBrK5Do9w+UWKy/tZaG62smverPxEyiTBaKk26oyUkoCJEhnSd7Of3GeaJ9cYpKLVZdt5Sqhunr/M/VquuWcmxfKw4ehqnjOh7KVay6bumM32uyMOgbTIRBS4eJGgkDzWdjXeHyHz57E4Yv9YleN7XEYrMMlKHIVKE46YaamoSCEBnQebKXY/ta0QwNX8AgFrE5tq8VIOvBMPr+cwkk1/Vwht3LwqB3QOfISR8t50xG7wxCRR6e+T7mSg21YnkyEEZnFcUiNqXLQzTdXk/t1VUZm0mUqUJx0g01NQkFITLg9Bvn0Qwt2YVj+nQcPE6/cT4ndwtVDWWz+hzP9bBjbmItwbgw6O7XOXLCou3C2CkiXORx5Zo4q2oc/r+3O1B6TfIlHc1dHP7pafzFVuKKvmf06rspYyfaTJWLyPd+BYVOQkGIDMjmYG82eK6HHXdxhieGQVevzuGTFmc7x04NJSGPpoY4K5c5pNotV9Og7d2LWGEfylXEYjYaoJt6xq++M1EuIt/7FRQ6CQUhMiAbg73ZMBoG7rA7YU+Dzh6dwycsznWNnRJKwy5XNtjULXNIORxggBU0CFcH6To9gFVkTOgqKtSr73zvV1DoJBSEyIBMDvZmg+cmBo+dS8LgQnciDM53j50KyopdNq6JU1vtkmo4QDc1zICBEfajBRIDyOHKwLy5+p5vVUtzTUJBiAzIxGBvNqQKA6XgfLfB4RMWnT1jJ/GKkkQYLK9KEQZaojvM8Bv4LAPzkjUG8+3qez5VLc01CQUhMmS2g72Q+emsqbqJlIKOiwZHTlpc7B07qS8pc7myIU7NkknCwKdj+i8PgvHk6nvhkFAQIs8yOZ11sjBo7zQ4csKiu3/sxF5d7nLlmjhLK1KHgTkSBumuPJar74VBQkGIPMvEdNbJuonazhscPmnROzB2Yl9a6bCxIU51hXf5G40UqDMtfcZlKMTCIKEgRJ7NZTqr5ymcmDMhDDwFredMjpz00Tc49r41Sxw2romzpGyKMAgYGIZsaLOYSSgIkWezmc6aMgw8OHPO5N3jJpH42H/a1eFhNm/0qCydJAz8RqKbKINhILWF5i8JBSHybCbTWVOFgevB6bMmR09aDEbHTuzFbi/lsXP4+yLo9cuhdNymO1kKA5h9bSEJksIgoSBEnqUzndXzFG7MwY65qJELfteDk+0mzSctIsMjJ3alKHZ6qfLOE1DDoINj6LS9e5HyuuKshsGo2dQWkiJ1hUNCQSxY+apaOhuTTWdVI3cGdsyl+8wAbe9eJDpoM1S8jG5rKTEnceLVUKyscVDvHSfocxidTGTHXeyoizPs8P4r7dRetYQlq0uzeiyzqS0kReoKR05D4e///u/52c9+hm3bfOYzn2HLli088MADaJrG2rVreeSRR9BTFVcRYobyWbU0E8aHgfKgp3WA91/roD9QTXfJUlzNB04iDFavcGhaHac4pHi3TRGPKkxTw467eI6HP+xDKcVQ9zDNL7aw4ba6rH4Hs6ktJEXqCkfOzsAHDx7krbfe4h/+4R94+umnOXfuHN/85je59957+eEPf4hSin379uWqOWKBGz/NUxuZc68ZGqffOJ/vpk3J8xR21CbaHyMeTQSC7cBbh+F08VV0+msTgaA8Su2LrHWPs3VjjOJQYoCh9qolKM8DXcewDHRDJxax0TQd3dBy8h1sunM1npOovqqUwo65065uLq4qwolPHAgv1DIZC13O7hReeeUV1q1bx5e+9CUGBwe57777eO6559gysofwtm3bOHDgANu3b89Vk0QByXRXTyFVLU3n2FKNGcRteL/Fx7EzFnE9DICmPMrcLpY4FzCxcYbcCe9TUV+ML1TP2SNddJ3qBw38IQufP3H9l4vvYDarm+dbmYyFLGeh0NPTw9mzZ/nud79LW1sbX/jCF1BKJasqhkIhBgYGUr529+7d7N69O/k+YmHJRldPoVQtne7YJguD42csjp/xYTsju5yN3BlUeRfw4QDgOAp/OHE8mp7ohzcsg2B5gKVXlPPG7uOTfgfZHm+Z6epmKZNROHIWCmVlZTQ0NGBZFg0NDfj9fs6dO5f8fSQSoaSkJOVrd+3axa5duwDYuXNnTtorcicbG9QUStXSVMfmah5tb3dSVhOaEAaxOBw7Y/HeGR+OmwgD01BcUWdTY/XQ9kYbmqGjTA3XUaAU9ddUYwUNTMtEu6S+9WTfQUVd8YSgGuoZ5u1/OYnpNwhVBvI2ID+XMhkynTVzcjam8OEPf5iXX34ZpRTnz58nGo1yww03cPDgQQD279/Ptddem6vmiAIS7YtjXLKZ+1y7OaoaythwWx3+kA972MUf8mV9gDWVCcemaZh+g0CxRbQvnhwziMY03jpu8cL+EEdPWjiuhq5cyoc7uCLezKpgF8tWh1hzw3KsIhMn7hGqCNB4Wz01jRX4Ar7LAmGq76C7dSAZVE7cJT7koJTCsd3knUznyd6cfk9zMTqddag3NmE6a+uhC/lu2ryUszuFW2+9lTfeeIPf+Z3fQSnFww8/TG1tLQ899BBPPPEEDQ0N7NixI1fNEQUkW109c6lamilFpRbxIQd/yEQ3dJyYS2woji9g0nEywrvHDbq1CpQ2ciehe5QMnaPcuYhlerhRxYnXzrKG5ZTXFVOxqgTfyDqDdPY+Hv8djHYZ9bQNopsa/pBFPDIyfVXXUK5K6y6t82Qv77/cTq82CCsibK7bmtercpnOmlk5nZJ63333XfbYM888k8smiAJUKF092bBqyzJOHewgPuyiXBvXUcQ9g75wPUfeK0aNTMHWlUN57DwVXhea52KaI91HpoZnGlw40cvSDeWYVnphcKnxYxu6qaNcj+H+GEqR2GJTgW5MPxg9+j72sINZZhCJ2HlfZCbTWTNLFq+JaWV7ULJQN6iZi9GqpaEyP8sbK2l79yKDUYO+8HJ69QpUVEvsVaBsKp0LVLhdeI5LbCBOsNwPJPY4Nv0Gmq4xPGDj88/+P9fxYxv+kMlw/8hJPzE0ASj8ocSdWaq7tNG/gb6zEdASr9FIjJFkYy/mmZA9lzNLQkFMKVeLwAqhq2c2xgdmsMzPyuuWUrosOKE2kVlRQqR+CWfOmiiVuMo3PJtK9wIV7kV0Ek/URu4ONF3DH/IBGq7tEh+0R36evfFTdH1+A0osYhEH5XlomoavKFEu27Evv0sb/zeglAIF8SEbL5QYIc/3VblMZ82saQeaP//5z/Piiy/iuu50TxUL0HxdBJYLya7GamJUAAAgAElEQVSUqEOwzIenFO//vJUL7/WiFPQParz2jp9/fSXIqXYfSmkEAx4f3hBjvTpOWexCMhDQQDN0ymvD6KZGLOIQH7KJR52MdKUVlVq4ztjiMJ/fIFDso7wuzNW/1UCwPDDpgPz4vwHd0NEATdOID9tA/q/KE9NZmwiW+YlFHIJlfm68p0nGE2Zp2juF++67j+eff54nn3ySm266id/93d9l1apVOWiaKASFtAis0LT8+gL+sA/DZ+DEHFzbwXEUH7w7QLx7CS3nTBipQhQKeDQ1xFm9wsHQoUev5MRrZ3E0HavIRDd1vLjLyuuWgsp8V9pU4zbT3aWN/xuwRrqelFJ4jkLZhXFVLru+Zc60obBmzRruu+8+uru7+cY3vsGdd97Jddddxx/90R9x1VVX5aKNIo8KZRFYoXFtFzvmgfJwhhOLyYa1IjqLljJglMHIEpxw0UgYLHcYX9arvK6YK4zldJ7sJ9oXQ9c0Vn9kOVWrEyfnTHelzWXcZvzfwGjXk9atoekaVsgnV+ULzLSh8Itf/IJ//ud/5uTJk/zmb/4mDz74II7j8F//63/lhRdeyEUbRR4t5JlBs+HYLk7MxbU9UIp41MX2Bek0lzFojFUfLQ55XNkQZ+WyiWEAoGlgBAxqGitZsbEqZ22f7bjNpX8Dmq7h8xtsuK2OiuvXSyAsMNOGwgsvvMBnPvMZtm7dOuHxP/iDP8hao8TMXLqas7O4l6oMXcgvxJlBs2HHE+WnPUclHwutqeHk+z6GfGNhYLlRGuuH2XClj0vXk42GgW+kUN18kepvoPbqKkpri6d5pZiPpg2Fv/7rv075+B133JHxxoiZS7U5ybHXWzGuMqnI0HknWzODCn2/A6UUTjxxZ9B1pp+2ty8SG4zjhMvoL6mlKxKGkUlBljvEUjpp2mhRUT/xZKlpYAYMzHkWBuNd+jdw7vW+PLZGZJNMSZ3nUq3m1AyN9ne6qNhcuP3+hbzfwWgY2MMuylX0tA7wwWtniVql9BSvZkgPQyTx3IoSlyvXxFlR5aFplRPeJ1mkzm+ipyhDIUQhklCY51Kt5jRMneHeOFC4oZCNInhzpTyFEx+pWDoyA1spaH53mPPh9Qwb4eRzA26EpVzghuuruHSB8VRhUOh3R0JIKMxzqVZzuo5HOFy4gQCFNdU1VflqpeBsp8HhExbdxth0y6A3yBLnHEFvEDfmomljA8XT3RkU8t2REKMkFOa5VKs5latYsakSSL0/RSEohKmuk4VB23mDwyctegfGQivoDFDlniOkEv1GE/YyMBJhkKp89XiFeHckxKUkFOa5VJuTbLitjgprEM4Wbijkc6qrN7L/8fhSFJ6C1nMmR0766BscC4OaJQ714V663z4zYS8DTSnqP1yNFTQTRerSGDMopLsjISYjobAAXLqa88c/vgBtg3ls0fTyMdU1eWcwPgw8OHPO5MhJi4HI2F3LiiqHK9fEqSz1gADlweW0vXuR+JBNqLKI+s1VLGkonVHF0kK4OxJiOhIKIm9yVQQvVTeR58GpsyZHT1oMRsdO0rXViTCoKJm4iXx5XTGVq0sw/casy1fLQkAxH0goiAUrVRi4HpxqNzl6yiKSDANF/TKHKxtsyoq9y95ndGB4tmEwShYCivlAQkEsOCnDwIUT7T6aT/kYGk6EgYZiZY1DU0Oc0rC67H0yFQbjzdcS4WLxkFAQ89Jl8/23LKWyviSxAnncmIHjwgetPo6d9hGNjYSBplhV43BlQ5ziUG7CQIj5QkJBzDvj5/tbIRM75nL8Z20oT+ELmtRuXEK4ppgPWn00n/YRi49seakpVq9waFodJxyUMBAiFQkFMe+cfuM8ht/AHzRx4h7D/cM4MQ9dBwedN37t0R8KYrsjYaAr1qywaVxtEypKFQbg85uJrS8lDMQiJ6Eg5h3X8bACBvaww+DFYZSn8AyD3uAyBkPL8DQTXDB0xRV1NhtW2QQDEgZCpENCYQHrOxfhjd3H057pUuh1eRw7MV6gGxpDfXFMU8NWBgPFyxgILkPpiYVhmnIpi3fy0R3FFPlnHwaF/n0IkQ0SCgtUd9sAHW93smpFVVp1dgq1Ls/48tWjexksb6zk+C8v0Kkvo7d6STIMdOVS4XZSOnyBoiKNIn94wnsly1H4zWnvDAr1+xAi23IeCl1dXezcuZMf/OAHmKbJAw88gKZprF27lkceeQT90m2qxKy0v9OFoaeuswOXz5UvtLo8l5avHjU0rHEqUsmZ0mV4KnFi1zyHstgFqrQucByU61F71fLkazSdkQHkqWsTjVdo34cQuZLTM7Bt2zz88MMEAgEAvvnNb3Lvvffywx/+EKUU+/bty2VzFrThwTi6MfEEaJg6gxejHNvXSixiT7gCjnQNY5j6Zc/PdV0e5SnsYZtof5x4xEkGQiSq8aujFj9+OcjxMxae0rB8ik1XxPhY40VWWF2oWByryGTNDcsprytG08EKGhSV+PEFfGkHAiTqFBXC9yFEruX0TuFb3/oWn/70p/ne974HwJEjR9iyZQsA27Zt48CBA2zfvj2XTVqwAmELr3Nif7rreChPpbwC9oY9XMfLW10eNVKkbvyCM4DBqEbzSYuT7WbyzsDwbJZwkasaNKpWhYEw1avGuopGS1ib/tR3BumMFUidIrFY5SwU9uzZQ0VFBTfffHMyFJRSyb7dUCjEwEDqqp67d+9m9+7dAPT09OSmwfPcik2VdOw9i2NPrLOjG3rKK2BN11CuynldnlSrjwEGIhpHT1mcOmuixoVBhX2eCtWFcjzOvO5hGom7Ahi37eUUO52lO1YgdYrEYpWzUHj++efRNI3XXnuN5uZm7r//frq7u5O/j0QilJSUpHztrl272LVrFwA7d+7MSXtzqfXQhWTpa18gMSMmHnUoripi052rJ1RATVdFbTHG1VX4o77Lxg5SXQGHlxQlf5+L2Tae6122+higf1DjyEmLMx0misSJPRjwKB06R2joAtboX6yp4aDTdvgiFfXFae+BnO5YgdQpEotVzkLh2WefTf777rvv5tFHH+Xxxx/n4MGDbN26lf3793P99dfnqjkFo/XQBV596ii6qYOm6D0bARThysSOaq8+dZQb72FWwVC6LMR1W9Zf9vhkV8C5qMvjuh5OLDGbiHFh0Dugc+Skj5ZzJoyEQSjg0dQQZ/UKh7d+1IHpn7gXgRU0QdMIlFjThsGomexpIHWKxGKU1ymp999/Pw899BBPPPEEDQ0N7NixI5/NyYt3fnIK3dTx+Q2GuofRNUDTGe6PU1oTwh55zmxCIZV8XQG7tosTT9wdjA+Dnn6dIyctWs+P/SmGi0bCYLnD6GQ0f9giHnUwTQ3D0jH9PhzbxTT1tAMBZKxAiOnkJRSefvrp5L+feeaZfDShYAx0RvGHEv83uI6X2AReS/wbEltsDnRGM/qZubwCduzEXYFrexPCoKtP58gJi/bOsT/B4pDHlQ1xVi4bC4NRtVct4cyb5zGDifGCWCSOG/douK1uRu2RsQIhpiaL1/KsuCrRTeTzGximjjcSBqODwU7co7iqKO33az10gTd2H4f2dspUH51LenPeBZJqwdmoi706h09YdFwc+9MrDbtc2WBTt8wh5fiwBlVXlBEo8XHmVxeI9MQoKrVYe/PM73BkrECIqUko5NmmO1fz6lNHsQF/iY9IVwyUR7C8CDvm4jkem+5cndZ7jY5PxCI2Ib+B3evkdBWu8hROfGQmkTvxdxe6E2FwvnvsT66s2GVjQ5zapS4pFxhrYPoMzICOYRr4V5exZPXcj0PGCoSYnIRCntVtrubGe0jOPipbHkrOPgqW+Wc0+2h0fML06WhR0E0NzdCyvgp3smmlSsH5boPDJyw6e8YGdytKXK5cE2dF1VRhoGP6DQyfkeIJmSP1jYSYSEKhANRtrs7IQPL48YlR2VyF67kedtzFvWRaqVLQcdHgyEmLi71jJ/XKUpeNa+LULJkkDADDSgy6ZzoMUp38AalvJMQlJBQWkNHxifGyMbPGdVyc2OUziZSCs52JO4Pu/rGTelV5IgyWVkweBrqp4ysyMH1Gxq/eJ1uwZlhG1uobyR2ImK8kFBaQ0fEJx/ZQgOeojM6scWwXN+biXDKTSClou5AIg96BsTBYWuFw5RqbpRVuindL0E0NM2DisxKvy0Z10skWrA11DxOqDEx4biburKTCqpjPJBQWkNHxiSPf/hVOr0s4YLLhtro5nYimmknkKWg9Z3LkpI++wbEwqFmS2P+4qty79O2SdFPD9Bv4/BP/BLNRnXSyBWtAVuo9SYVVMZ9JKOTQ+HIWcylhMZW6zdVct2s9tIXg7NlZn4Q8T+FOMpPI8+DMOZOjJy36I2Mn1BVViTCoLJs8DKbbB3kmK47TNdmCtWC5H9f2Mr5mIRvHIESuSCjkyPhyFv6QOecSFtmSrEl0yUwiSITB6Q6TIyctBofGTrC11Q5XrolTUTJFGIzuaTDNBjfZWHE82YK1tbfUAplfsyCrpsV8JqGQI+PLWUCitHOmS1jMxWhNIjc2cSYRgOvBqXaTo6csItHRE52ifpnDlQ02ZcVThEEalUvHy8aK4+kWrGW6S0dWTYv5TEIhR1JNF81GCYuZmmwmEYDrwok2H82nfQwNJ8JAQ1Ffk+gmKg1fvv9xksbImMH0lUvHy9aK41wuWJNV02I+k1DIkfHlLEbNtIRFJk1WoA7AceGDVh/HTvuIxkbCQFOsGgmD4tA0YWAZmAEDYwZhMN5CWHG8EI5BLE4SCjkyvpyFaek4cW9GJSwyxR0pUHfptFIA20mEQfNpH7F44oSua4rVKxyaVscJB6cJgxytQp6KrA8QYm4kFOZgJrOJLi1nka3ZR6lMmFbqqomlq1sHOPNuNxfsMnr9S3G1xJ+ErinW1No0rrYJFU0dBoap4wvkNwxA1gcIkQkSCrM0m9lEmSpnkS7lKezh0Wmll5/YL5we5K23Fb3+9XiBxJ+CpjzqK4fYfJVGMDBNGPjGSlIUwhW6rA8QYu4kFGapkGcTea6HG3PwojbxIeey38ficPyMRfOJKryR+fSacqlwuyiNnSfoQTAwSbfWJWEAhXOFLusDhJg7CYVZKsTZRK7tEo86RPvj6MMu2iUzRYdjGsdO+3i/1YfjaqCBrlwq3E4qnE5MXJQBscEUZSlShMGoQrlCl/UBQsydhMIsFdJsIjvmYA8luolQXDaAHI1pNJ/y8UGrD9dLrBXwmYqy+AVKhs7jN8fSw3UU/vDEk6jh0xNrDSYZMyiUK3RZHyDE3EkozNJcZxPNteSFUonxgviQgxtPvXjMc/08v7+XeLQGGOkm0mysYBv+oja6uwc5erYbdA3d0BKD0J5i2YYKWt/qSlz9W0ayTtCl+s5FuPB+L5HuYdDAFzAxfInQ8RyFL2DS93pu75z6libaFBuy8Qd9VK8to/diFC7mtBlCzFsSCrM0l9lEcyl54bke9pBDfNjGu3y4IPGcqEbsfC1291pQI+sMDAerqgersgfNUEA1oeXVLFmylPPv9TAUcfCHTJauKye8IsxQb4yO5m6GeoYIhC1WbKqkorY4+RndbQOcPDGIZpbhLfGID7qgFH7Lh6ZrKE/RcEMNLC9O3cgsKV0Opdfk9CMXr5KSfLdAZIGEwhzMdjbRbAapXccjHrWxI85lZShGDV6M0ryvhaE3gqASV+ya5eFbbeOrtdHMIhRFE3qXimug+EOJf+sGmAGTvrODNB9uRdNLMZbo9Dkeve86bKgOJ8cIThw4Tqy0Otl/7xW7xAZtogpKl4VYdd1SKkaeO35mkmnpoGk4MVfWEQhRgBZFKOSiOulMzGSQ2oknBo/tqHPZWEHy/S4M0fxiC2d+fWHkORpFpRbrb62j4fpl064f0Azwh3xYRYmr/H997CDhtSsnjJfYMZfggJ/f+ORWACIvFuOvn1jcTilFLOLw6e/cknys9dAFXt13lKuWrcRd4ib2oEYRri1CN3W8Ux6bP9qU9xlbQoiEBR8KhVidNJ1BajvmEI84KctQjOo7F6F5bwutb3cmnxMs97PhtjpWXbds0rGAUZoO/qAPK5QIg1HphFa6A+3j74qGuofRtcQHD/fHKa0JFcw0XiFEQs5CwbZtHnzwQdrb24nH43zhC1/giiuu4IEHHkDTNNauXcsjjzyCrs+uXs5kCnE9QapBauUprv7N1cSGbOwhB9eevPJob/sgR19sof2dsdHTUGWADR+rY9W1S9GnCwMNrJCJFbJSVi5N54Sf7kD7+IBxHS+xHaeW+DfkfxqvEGKinIXCCy+8QFlZGY8//jg9PT389m//Nhs2bODee+9l69atPPzww+zbt4/t27dn9HMLcT3B+EHqSPcw5bVh1n20lpKlIYbHTePsaO7i+EttRLqHCVUEWL6xks4P+jh7pCv5nHBVEY2311P/oWp0Y5rS1BpYQRN/0DdlcKRzwk93oH18wBimjjcSBqN3MfksCiiEuFzOQuHjH/84O3bsSP5sGAZHjhxhy5YtAGzbto0DBw5kPBQKaT3BeHWbq1m+cQnxkTsDpZiwqU1Hcxdv7fkAzdTRDY3u1gE6T/Qlf1+yNEjj7fXUba6a0PWTkga+IhN/yDdtl9Jo29I54acz0D4+YPwlvsSYgvIIlhdhx9y8FAUUQkwuZ6EQCoUAGBwc5Ctf+Qr33nsv3/rWt5IDlaFQiIGBgZSv3b17N7t37wagp6dnRp9bKNVJx3NiI4PHw5MPHh9/qQ3PU9h9MZzYWFoYls6Wz6xnxcYl6YWB38AK+TCtmRWry1SdpksDpmx5CE3TiEcdgmX+vA/6CyEmyulAc0dHB1/60pe46667+OQnP8njjz+e/F0kEqFkknnPu3btYteuXQDs3LlzRp+Zz+qk4ymlsGMu9tDUg8dKKTo/6KXrTD+eM/Ykw6cTKPbheYraTVXTfp7pN/CHZx4G2ZDrQoBCiNnLWShcvHiR3/u93+Phhx/mhhtuAKCpqYmDBw+ydetW9u/fz/XXX5+Vz57spJSLqarKUyNTSm1ce/Kqo0opzh/v4ejeFrpO9ycfNyydomIfZsDAsRXh4qnr+BiWjj/sw+df8BPLhBBZkLMzx3e/+136+/v527/9W/72b/8WgD/90z/lscce44knnqChoWHCmEO2ZXuqqud6xIcSVUrV5BOJUErRcbSbo3tb6Gkd6z4rWRYkHrExAgamZeDYHsrxWH9rbcr3MXw6VtiHFZAwEELMXs7OIF//+tf5+te/ftnjzzzzTK6aMEG2pqq6tkt8yCE+xWIzSNxBnD3SxdG9LfS2DyYfr76ijMbt9VStKeXcse4Js4/W31pLTWMlkBiIfu8X7Thxl9KaIOtuqaVuk3TRCCHmZtFeVmZ6qupllUonoTxF2zsXaX6xhb6OSPLxpevKabqjniWrS5OP1TRWJkNgvI5jXTTvPYMVttBN6G4d5NUf5HdBnhBiYVh0oTA6jhDtjRHtixEqD2AFE1/DZFNVJxt7SKdS6SjPVbQeukDziy0MXBgLnpqmCpq211NRn15xMU2H9ncuovuMZOkLn2Vgq8JZGVxoZUVmYj63XYhMWFShMH4coajcItIVY+DiEOHKkTo8KaaqXjb20BfjjefeQylFRV3xlIPHkBhbaHnzAs37Whi8OJx8fMVVlTTeXk95bXpVRMevQr54egCryJhQd2i6u5xMneyme59CLCuSrvncdiEyJbM1JQrc+HGEQMgivCSAbugM9cQIlvm58Z7LC7ONvsYqMrFCPkqqitB0jUP/78kpA8FzPE7+soOf/uUbvLH7vUQgaFC3uYo7/vjD3HjPlekFwkgYhJcUESj2o+sa4coAziV3JlMtyBs92Q31xiac7FoPXZj+82f4PuO/Y03T8PkNdFPnnZ+cmtFn5cN8brsQmbKo7hQuHUfwB31YRSaxiMNvfH1rytdEemKEKy0M0yA+5BAZiOG5EB2KpXy+a3ucOniOYy+1Eu0deY4G9R+qpvH2ekqWBtNr7BSrkGe6IC9Tg+rpvE8hlhVJ13xuuxCZsqhCYaYlL5y4S0VtmL4LQ+DFkwPIju0Rqghc9tyTv+zg+EttDPcn6hdpOtRfs5TG2+vTL6sxsoOZFTQnXXg20wV5mTrZZbJ6aiGaz20XIlMWVSikc4V96crj2quX0DlSg8j06ZetF3BiLidePcvxn7cRG7QB0AyNVdctZcPH6ghXpn9CMQMG/jRLUsxklXCmTnaZrJ5aiOZz24XIlEUVClNdYXuewo4mFpuNLy9R01gJO7lsvcCS1aU072vhvZ+3ER9K7IupGxqrty5jw8fqCJYHJmnF5QzLwB82s7YKOVMnu0xWTy1E6bZdZiiJhUxTarLNHQvTzp072bNnT8beL51tLseLRx0+eLmd9/a3J6aEArqps+aGGtbfWktRqT/tzzYsHSuUm1XIuZp9tNCNn6E0PhhTTVIQopCke+5cVHcK46VabHbp/gXjVxDHIjbv72/jvV+0j22Ao8GKjZVcs3MtgZKpaxKNp5sa/nBi+8tcyWTV08V88ivETZuEyKRFFQrJ4nTDly82G79/gRU0iQ7EeWvPB8Q/4dB3NsKJVztwYm7iyVpiT2MzYNDbPkhP+wA1JZevPL6UboIVsrCKJu5tLCZXaHcmMkNJLHSLIhRcx0uOF0xWnO74S21opo7PSkz/NAwYGnB5/YfHk3cSmg5mwCRYNraNpR33OP5SW8pyFKM0neSdwbR7IIikQlxMJjOUxEK3oEPBHnawh90pN7MZFekexgqaeI7H8KBNbNBJ/s5XZLLuoys4+VoH/rCP8Rf5pk8n0j2c4h0Tq5B72gc5/vNWetoihCsDeb/SnU8KsatGZiiJhW7BrWhWShGP2gx2RRnqiSXrA00nUGwx2D1M37noWCBoEKoI8Btf30LT9pWElxTh2JesJE6xZgENrLBJ34UhDj57jL6OIawiY9YriRergc4opjXxTzTfXTWJGUpNBMv8xCLOpCvhhZivFsydwtiUUhvPmf75owYvRmnel9jLQCW7iTR8QQPTp/OhnWvwjcwOWn9rLW/t+SBxlZhizQIayXIYhqnzzgsnE+9VQFe680mhdtUs9sF2sbDN+1BIdzObSw1cGKJ5Xwstv76QfJ0VTKwkdh2PcGXRhNlHMPmahZqmSnwBE3/IxPCNncBkUHJupKtGiNybt6Hg2m5iJtFQeusLRvWdi9D8YguthzqT3UrBcj8bPlbHqi3LLqszdKkJexxoI3shT7IKuVCvdOeL+bwQToj5av6FgoKhnuFpN7O5VO/ZQZr3ttD27sXk60KVgUQYXLsUfZowuFQ6q5DlSnfupKtGiNyad6GQ2NjGTfv5Pa0DHN3bwtkjXcnHwlVFNN5eT/2HqtGNmU0RncleyHKlK4SYb+ZdKKSr60w/R/e2cK65O/lYydIgjbfXU7e5asbrBXQTrKCFFZzZwjO50hVCzCcLLhQ6T/bRvPcM59/rTT5WWhOiaXs9K65aMuMw0PTE6mUrmN+FZ4W2slcIsTAtiFBQStH5QS9H97bQeaIv+Xh5bZjG7fUsb6qceRiM2/5Sz/Mq5EJc2SuEWJjmdSgopTh/vIeje1voOt2ffLyivpimO1aybEP5zGsMaeAPmVhBH7pRGGv7CnFlrxBiYcp7KHiex6OPPsrx48exLIvHHnuMlStXTvkapRQdzd00722hu2Ug+fiS1SU0bV9J9bqyWYWBFTTxB30znomUbbLeQQiRK3kPhRdffJF4PM7u3bs5dOgQf/mXf8nf/d3fTfr8+JDDi//jLXrbB5OPVV9RRuP2eqrWlM4qDCbbC7lQyHoHIUSu5D0U3nzzTW6++WYANm/ezOHDh6d8/kBnNBkIS9eX07S9niWrS2f+wVqiG8ZKc/vL6WRzIFjWOwghciXvoTA4OEg4HE7+bBgGjuNgmpM3raapgqbt9VTUl8zqM5OrkP1zDwPI/kCwrHcQQuRK3kMhHA4TiUSSP3ued1kg7N69m927dwNglihu+tzGWX2WYen4w76M74Wci4FgWe8ghMiFvHeiX3PNNezfvx+AQ4cOsW7dusues2vXLvbs2cOePXsoLZ/53YFuahSVWYQrizIeCFCYJZ6FEGI28n6nsH37dg4cOMCnP/1plFL8xV/8Rcbee7arkGdKBoKFEAtF3kNB13X+7M/+LKPvmetVyJcOBEf748QGbOIRm3997KD0/wsh5o28dx9lkqaBP2wSrgriD1s5K0sxfjeuwe5hYgM2gWIfwXK/7LYmhJhXFkYojCw8Cy8pIlDsz0tZirrN1fzG17dSUVtMuKqIolI/mpbYdU03dd75yamct0kIIWYq791Hc6KRcsezfJLVx0KI+WzehkKm1xpkigw6CyHms3nZfVRU7idUESi4QIDEoLPneNgxN7EhUMyV1cdCiHlj3oWCpmtp7XqWL+MHnWMRh2CZnxvvaZLZR0KIeaFwz655NpdaRrL6WAgxX827O4VcGK1lNNQbm1DLSKaVCiEWOgmFFMbXMpJppUKIxURCIQWpZSSEWKwkFFIorirCiXsTHpNppUKIxUBCIQWZViqEWKwkFFKQaaVCiMVKpqROQqaVCiEWI7lTEEIIkSShIIQQIklCQQghRJKEghBCiCQJBSGEEEnzbvZRe3s7O3fuTPv5PT09lJeXZ7FFhWkxHvdiPGZYnMctxzxz7e3taT1PU0qpWX/KPLBz50727NmT72bk3GI87sV4zLA4j1uOOXuk+0gIIUSShIIQQogk49FHH300343Ito0bN+a7CXmxGI97MR4zLM7jlmPOjgU/piCEECJ90n0khBAiad5NSU2X53k8+uijHD9+HMuyeOyxx1i5cmW+m5Vxtm3z4IMP0t7eTjwe5wtf+AJXXHEFDzzwAJqmsXbtWh555BF0fWHmf1dXFzt37uQHP/gBpmku+OP++7//e372s59h2zaf+cxn2LJly4I/ZvHPvN4AAATYSURBVNu2eeCBB2hvb0fXdf78z/98Qf9//fbbb/Ptb3+bp59+mjNnzqQ8zr/5m7/h5z//OaZp8uCDD7Jp06bMNUAtUP/+7/+u7r//fqWUUm+99Zb6/d///Ty3KDt+9KMfqccee0wppVR3d7f66Ec/qj7/+c+rX/7yl0oppR566CH1f/7P/8lnE7MmHo+rL37xi+qOO+5QH3zwwYI/7l/+8pfq85//vHJdVw0ODqr/9b/+14I/ZqWU2rt3r/rKV76ilFLqlVdeUX/wB3+wYI/7e9/7nrrzzjvV7/7u7yqlVMrjPHz4sLr77ruV53mqvb1d7dy5M6NtWBjRmsKbb77JzTffDMDmzZs5fPhwnluUHR//+Mf5wz/8w+TPhmFw5MgRtmzZAsC2bdt49dVX89W8rPrWt77Fpz/9aaqrEyXOF/pxv/LKK6xbt44vfelL/P7v/z633HLLgj9mgNWrV+O6Lp7nMTg4iGmaC/a46+vrefLJJ5M/pzrON998k5tuuglN01i+fDmu69Ld3Z2xNizYUBgcHCQcDid/NgwDx3Hy2KLsCIVChMNhBgcH+cpXvsK9996LUgpN05K/HxgYyHMrM2/Pnj1UVFQkgx9Y8Mfd09PD4cOH+c53vsN//+//nT/+4z9e8McMEAwGaW9v5xOf+AQPPfQQd99994I97h07dmCaY736qY7z0nNbpo9/wY4phMNhIpFI8mfP8yZ82QtJR0cHX/rSl7jrrrv45Cc/yeOPP578XSQSoaSkJI+ty47nn38eTdN47bXXaG5u5v77759wtbQQj7usrIyGhgYsy6KhoQG/38+5c+eSv1+Ixwzw1FNPcdNNN/G1r32Njo4OPvvZz2LbdvL3C/W4gQnjJKPHeem5LRKJUFxcnLnPzNg7FZhrrrmG/fv3A3Do0CHWrVuX5xZlx8WLF/m93/s9/uRP/oTf+Z3fAaCpqYmDBw8CsH//fq699tp8NjErnn32WZ555hmefvppGhsb+da3vsW2bdsW9HF/+MMf5uWXX0Ypxfnz54lGo9xwww0L+pgBSkpKkie90tJSHMdZFH/jkPq/5WuuuYZXXnkFz/M4e/YsnudRUVGRsc9csOsURmcfvffeeyil+Iu/+AvWrFmT72Zl3GOPPcZPf/pTGhoako/96Z/+KY899hi2bdPQ0MBjjz2GYRh5bGV23X333Tz66KPous5DDz20oI/7r/7qrzh48CBKKb761a9SW1u74I85Eonw4IMP0tnZiW3b/Of//J/ZuHHjgj3utrY2/uiP/ojnnnuOU6dOpTzOJ598kv379+N5Hv/tv/23jIbigg0FIYQQM7dgu4+EEELMnISCEEKIJAkFIYQQSRIKQgghkiQUhBBCJEkoCCGESJJQEEIIkSShIMQcPfvss3zta18D4P777+fZZ5/Nc4uEmD1ZvCZEBnzxi1+kpKSEeDzOE088ke/mCDFrEgpCZMChQ4fYtWsXe/bs4corr8x3c4SYNQkFIeYoHo/zn/7Tf+I//sf/yI9+9COeffZZLMvKd7OEmBUZUxBijr797W9zyy23sGvXLrZt28Zf//Vf57tJQsya3CkIIYRIkjsFIYQQSRIKQgghkiQUhBBCJEkoCCGESJJQEEIIkSShIIQQIklCQQghRJKEghBCiKT/H7dDdhZgSjqwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 添加长方形 add rectangle\n",
    "# libraries\n",
    "import matplotlib.patches as patches\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    " \n",
    "# Data 数据\n",
    "df=pd.DataFrame({'x': range(1,101), 'y': np.random.randn(100)*15+range(1,101) })\n",
    " \n",
    "# Plot\n",
    "fig1 = plt.figure()\n",
    "# 添加子图\n",
    "ax1 = fig1.add_subplot(111)\n",
    "sns.regplot( data=df, x=\"x\", y=\"y\", marker='o')\n",
    " \n",
    "# Add rectangle 添加长方形\n",
    "ax1.add_patch(\n",
    "    patches.Rectangle(\n",
    "        (20, 25), # (x,y) 左上角坐标\n",
    "        50, 50, # width and height 宽高\n",
    "        # You can add rotation as well with 'angle'\n",
    "        alpha=0.3, facecolor=\"red\", edgecolor=\"black\", linewidth=3, linestyle='solid')\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 添加圆 add circle\n",
    "# Data\n",
    "df=pd.DataFrame({'x': range(1,101), 'y': np.random.randn(100)*15+range(1,101) })\n",
    " \n",
    "# Plot\n",
    "fig1 = plt.figure()\n",
    "ax1 = fig1.add_subplot(111)\n",
    "sns.regplot( data=df, x=\"x\", y=\"y\", marker='o')\n",
    " \n",
    "# Annotation\n",
    "ax1.add_patch(\n",
    "    patches.Circle(\n",
    "        (40, 35), # (x,y) 圆心\n",
    "        30, # radius 半径\n",
    "        alpha=0.3, facecolor=\"green\", edgecolor=\"black\", linewidth=1, linestyle='solid')\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 添加参考线 add reference line\n",
    "# Plot\n",
    "sns.regplot( data=df, x=\"x\", y=\"y\", marker='o')\n",
    "# Annotation\n",
    "# 添加垂直参考线\n",
    "plt.axvline(40, color='r');\n",
    "# 添加水平参考系\n",
    "plt.axhline(50, color='green');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 添加公式 add formula\n",
    "df=pd.DataFrame({'x': range(1,101), 'y': np.random.randn(100)*15+range(1,101) })\n",
    "sns.regplot( data=df, x=\"x\", y=\"y\", marker='o')\n",
    "\n",
    "# Annotation\n",
    "plt.text(40, 00, r'equation: $\\sum_{i=0}^\\infty x_i$', fontsize=20);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
